Identify and quantify MHC eluted peptides from mass spectrometry raw data

DL model to predict HLA peptide presentation

Foundation model for MHC class I peptide binding prediction built on deep contrastive learning.

A pythonic library for analysing immunopeptidomic experiments

PepQueryMHC: Rapid and Comprehensive Tumor Antigen Prioritization from Immunopeptidomics Data

An optimized rescoring pipeline for immunopeptidomics data

Peptides motif search tool and Source protein mappers

Visualization of Immunopeptides Mapped to Source Proteins Across Multiple Samples

A rescoring module for DIA-NN identifications

R codes for processing MS data

Immunopeptidogenomics — cryptic peptide database construction from RNA-seq. An nf-core-style port of the 31-step IPG pipeline (Scull et al. Mol Cell Proteomics 2021), built for the Li and Purcell Labs at Monash University.